Critical Reviews in Biotechnology,
Год журнала:
2024,
Номер
unknown, С. 1 - 28
Опубликована: Дек. 8, 2024
Fungal
diseases
threaten
the
forest
ecosystem,
impacting
tree
health,
productivity,
and
biodiversity.
Conventional
approaches
to
combating
diseases,
such
as
biological
control
or
fungicides,
often
reach
limits
regarding
efficacy,
resistance,
non-target
organisms,
environmental
impact,
enforcing
alternative
approaches.
From
an
ecological
standpoint,
RNA
interference
(RNAi)
mediated
double-stranded
(dsRNA)-based
strategy
can
effectively
manage
fungal
pathogens.
The
RNAi
approach
explicitly
targets
suppresses
gene
expression
through
a
conserved
regulatory
mechanism.
Recently,
it
has
evolved
be
effective
tool
in
promoting
sustainable
management
bio-fungicides
provide
efficient
eco-friendly
disease
alternatives
using
species-specific
targeting,
minimizing
off-target
effects.
With
accessible
data
on
outbreaks,
genomic
resources,
delivery
systems,
RNAi-based
biofungicides
promising
for
managing
pathogens
forests.
However,
concerns
fate
of
molecules
their
potential
impact
organisms
require
extensive
investigation
case-to-case
basis.
current
review
critically
evaluates
feasibility
against
by
delving
into
methods,
persistence,
aspects,
cost-effectiveness,
community
acceptance,
plausible
future
protection
products.
Diversity and Distributions,
Год журнала:
2025,
Номер
31(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Aim
Investigating
the
role
of
trade
in
elucidating
introductions
insect
plant
pests
via
specific
pathways
over
past
two
decades
to
inform
future
pest
introduction
risks.
Location
Global.
Methods
We
analysed
global
data
on
first
findings
and
network,
assessing
which
network
metrics
explained
cumulative
per
country.
compared
in‐degree
(i.e.,
number
countries
a
focal
country
imports
from)
out‐degree
exports
to)
across
different
investigated
intraregional
saturation
for
each
within
continents.
explored
relationship
between
risk
spreading
based
structure
temporal
sequence
realised
introductions.
Results
In‐degree
was
major
driver
alien
all
pathways.
For
several
regions
such
as
Europe
Asia,
with
extensive
regional
connections
serve
hubs
connecting
numerous
belonging
same
geographical
region.
The
intra‐regional
routes
reflected
less
restrictive
agreements
played
pivotal
spread
exotic
found
untapped
potential
opening
new
Africa
Oceania.
Conclusions
study
emphasises
increase
multiple
driven
by
few
key
countries,
warranting
intensified
surveillance
efforts.
Opening
commercial
poses
higher
risks
than
increasing
total
volume
from
partners
it
might
open
dense
international
pool
pests.
Incorporating
high‐resolution
tracking
entry
final
destination)
is
crucial
can
enhance
mapping
precision
reduce
Remote Sensing,
Год журнала:
2025,
Номер
17(5), С. 912 - 912
Опубликована: Март 5, 2025
The
pine
bark
beetle
is
a
devastating
forest
pest,
causing
significant
losses
worldwide,
including
25%
of
forests
in
Honduras.
This
study
focuses
on
Dendroctonus
frontalis
and
Ips
spp.,
which
have
affected
four
the
seven
native
species
Honduras:
Pinus
oocarpa,
P.
caribaea,
maximinoi,
tecunumanii.
Artificial
intelligence
(AI)
an
essential
tool
for
developing
susceptibility
models.
However,
gaps
remain
evaluation
comparison
these
algorithms
when
modeling
to
outbreaks
tropical
conifer
using
Google
Earth
Engine
(GEE).
objective
this
was
compare
effectiveness
three
algorithms—random
(RF),
gradient
boosting
(GB),
maximum
entropy
(ME)—in
constructing
models
beetles.
Data
from
5601
pest
occurrence
sites
(2019–2023),
4000
absence
samples,
set
environmental
covariates
were
used,
with
70%
training
30%
validation.
Accuracies
above
92%
obtained
RF
GB,
85%
ME,
along
robustness
area
under
curve
(AUC)
up
0.98.
revealed
seasonal
variations
susceptibility.
Overall,
GB
outperformed
highlighting
their
implementation
as
adaptive
approaches
more
effective
monitoring
system.
Drones,
Год журнала:
2025,
Номер
9(5), С. 337 - 337
Опубликована: Апрель 30, 2025
In
recent
decades,
forests
have
experienced
an
increasing
trend
in
the
number
of
pest
outbreaks
worldwide,
apparently
driven
by
strong
annual
variability
precipitation,
higher
air
temperatures,
and
winds.
Pest
negative
ecological,
economic,
environmental
impacts
on
forest
ecosystems,
such
as
reduced
biodiversity,
carbon
sequestration,
overall
health.
Traditional
monitoring
methods
these
disturbances,
while
accurate,
are
time-consuming
limited
scope.
Remote
sensing,
particularly
UAV
(Unmanned
Aerial
Vehicle)-based
technologies,
offers
a
precise
cost
effective
alternative
for
This
study
evaluates
temporal
spatial
progression
bark
beetle
damage
fir-dominated
Zao
Mountains,
Japan,
using
RGB
imagery
DL
(Deep
Learning)
models
(YOLO
-
You
Only
Look
Ones),
over
four-year
period
(2021–2024).
Trees
were
classified
into
six
health
categories:
Healthy,
Light
Damage,
Medium
Heavy
Dead,
Fallen.
The
results
revealed
significant
decline
healthy
trees,
from
67.4%
2021
to
25.6%
2024,
with
corresponding
increase
damaged
dead
trees.
emerged
potential
early
indicator
decline.
model
achieved
accuracy
74.9%
82.8%.
showed
effectiveness
detecting
severe
but
highlighted
that
challenges
distinguishing
between
lightly
trees
still
remain.
highlights
UAV-based
remote
sensing
health,
providing
valuable
insights
targeted
management
interventions.
However,
further
refinement
classification
is
needed
improve
accuracy,
detection
tree
categories.
approach
scalable
solution
similar
ecosystems
other
subalpine
areas
Japan
world.
Frontiers in Veterinary Science,
Год журнала:
2025,
Номер
12
Опубликована: Май 14, 2025
Anaplasmosis
remains
a
significant
threat
to
livestock
production
in
tropical
regions,
particularly
the
Amazon
basin,
where
ecological
complexity
and
limited
veterinary
infrastructure
challenge
effective
disease
management.
This
review
focuses
on
Anaplasma
marginale
phagocytophilum,
primary
species
associated
with
bovine
granulocytic
anaplasmosis,
respectively.
We
examine
current
state
of
diagnostic
tools,
highlighting
accessibility
molecular
techniques
rural
settings
emerging
but
underutilized
potential
technologies.
Persistent
infection
antigenic
variation
are
explored
as
major
obstacles
for
eradication
vaccine
development.
Although
live
attenuated
inactivated
vaccines
use
A.
marginale,
none
provide
sterilizing
immunity,
no
commercial
exist
phagocytophilum.
The
evaluates
recent
advances
recombinant
antigens,
chimeric
constructs,
genetically
strains,
well
future
directions
involving
multiepitope
design,
novel
adjuvants,
next-generation
platforms.
Additionally,
we
assess
role
tick
control
prevention
emphasize
importance
integrated
strategies
regions
like
Amazon.
Together,
these
findings
underscore
need
context-specific
solutions
that
address
epidemiological
anaplasmosis
basin.
Journal of Educational Technology and Learning Creativity,
Год журнала:
2025,
Номер
3(1), С. 12 - 26
Опубликована: Май 2, 2025
detection
tool
based
on
wireless
technology
that
can
send
information
in
real-time
without
an
internet
network.
This
system
helps
related
parties
detect
and
respond
to
fires
more
quickly
efficiently.
Methodology:
study
employs
experimental
research
method,
using
tools
such
as
Arduino,
LoRa,
DHT11,
MQ2
sensors,
ESP32
Wi-Fi
modules.
Data
collection
methods
include
observation,
interviews,
literature
review.
Software
used
includes
Arduino
IDE,
Sublime,
Windows
10.
Prototyping
is
applied
for
design,
with
unit,
system,
integrity
testing
validation.
analysis
qualitative,
a
focus
monitoring.
Main
Findings:
The
LoRa
forest
fire
works
well,
sending
temperature,
humidity,
smoke
data
the
website.
Tests
show
device
work
at
distance
of
up
1
km.
status
only
appears
if
temperature
above
40°C,
humidity
10%,
2670
ppm.
At
close
range,
successfully
detects
fires,
while
further
distances,
safe
displayed.
Novelty/Originality
this
study:
introduces
communication,
combining
monitoring
smoke.
integration
Arduino-based
sensors
long-range
transmission
offers
innovative
approach.
advances
existing
technologies
by
improving
coverage
transmission,
enhancing
accuracy
reliability
wildfire
systems.
